Senior Data Engineer at DigiCert

Who we areWere a leading global security authority thats disrupting our own category. Our encryption is trusted by the major ecommerce brands the worlds largest companies the major cloud providers entire country financial systems entire internets of things and even down to the little things like surgically embedded pacemakers. We help companies put trust - an abstract idea - to work. Thats digital trust for the real world.Job summaryWere looking for a Senior Data Engineer who can own modern data platforms end-to-end and help enable AI-powered capabilities across our products. Youll design and operate reliable scalable data pipelines on Databricks and collaborate with product and engineering teams to integrate intelligent data-driven solutions. This role is primarily focused on Data Engineering with opportunities to explore and apply Generative AI and Machine Learning technologies responsibly at scale.What you will doDesign build and optimize batch and streaming pipelines on Databricks (Spark Delta Lake) for high-volume mission-critical data.Implement robust data modeling transformation quality and metadata practices (expectations profiling lineage).Ensure reliability and performance of data services with CI/CD orchestration (e.g. Databricks Workflows/Airflow) and infrastructure-as-code.Build observability (logging metrics dashboards alerting) for data and downstream AI services.Partner with security platform and product teams to strengthen data governance access control and cost optimization.Collaborate with engineers to deliver LLM- and AI-backed features using OpenAI Agent Builder / Agent Bricks (or similar) and OpenAI/Azure OpenAI APIs.Contribute to retrieval pipelines vector store integrations and model evaluation processes.Participate in prompt design safety/guardrails and performance evaluation for applied AI solutions.What you will have5 years in Data Engineering (or adjacent ML/Data roles) building production-grade data pipelines and platforms.Strong proficiency in Python SQL and PySpark; deep experience with Databricks and cloud data stacks (AWS or equivalent).Expertise in Delta Lake/S3-class storage version control (Git) and CI/CD for data services.Experience building monitoring and dashboards for data or AI services (Grafana or similar).Exposure to AI/ML applications in production environments including LLM or retrieval-augmented workflows.Nice to haveHands-on experience with OpenAI Agent Builder / AgentBricks or comparable AI agent frameworks.Familiarity with MLflow for experiment and model lifecycle management.Working knowledge of LangChain LlamaIndex and vector databases.Understanding of LLM observability evaluations and feedback loops.Familiarity with security and governance domains (PKI identity data privacy).How you workYou focus on reliability scalability and measurable outcomes.You collaborate across product platform and security teams to deliver robust production-ready data and AI solutions.You stay curious about new data and AI technologies and apply them thoughtfully to improve business outcomes.BenefitsGenerous time off policiesTop shelf benefitsEducation wellness and lifestyle support#LI-KK1Required Experience:Senior IC Key Skills Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala Employment Type : Full Time Experience: years Vacancy: 1